Answer:
Contribution Margin is 51.875%
Explanation:
Contribution Margin = Contribution/Selling Price × 100
<u>Contribution</u>
Contribution = Selling Price/ unit - Variable Costs/ Unit
Selling Price $80.00
<em>Less Variable Costs</em>
Raw Materials ($25.00)
Direct Labour (45mins/60mins×$18) ($13.50)
Contribution ($41.50)
<u>Contribution Margin</u>
$41.50/$80.00×100=51.875%
Answer:
$33,600
Explanation:
The computation is shown below:
But first we have to determined the following things
Depreciation rate
= 1 ÷ useful life
= 1 ÷ 10
= 0.1
It is double-declining so the rate is also double i.e. 0.20
Now in the first year, the depreciation expense is
= $40,000 × 0.20
= $8,000
Now in the second year, the depreciation is
= ($40,000 - $8,000) × 0.20
= $25,600
So, the accumulated depreciation at the end of 2019 is
= $8,000 + $25,600
= $33,600
Here the residual value is not relevant. hence, ignored it
Answer:
32
Explanation:
First bounce = 13 / 14 × 10 = 130 /14
using geometric progression where the common ratio = 13/14, the first bound = 130/14
ar^n-1 < 1
substitute the values into the equation
130 /14 × 13/14^(n-1) < 1
(13/14)^n-1 < 1÷ (130/14)
(13/14)^n-1 < 14 / 130
take log of both side
log (13 /14)^n-1 < log ( 14/130)
n-1 log (13 /14) < log ( 14/130)
since log (13/14) negative
n-1 > (log( 14/130)) ÷ ( log (13/14)
n - 1 > 30.07
n > 30.07 + 1 > 31.07
The 32 bounce will the first less than 1 foot
Answer:
Data mining
Explanation:
Here are the options to this question :
a. Data query b. Simulation c. Data mining d. Data dashboards
Data mining is used to extract useful data from a larger set of any raw data. It is used to find relationship among data.
The store owner found a relationship between A, B and C.